Dynamic change meets mechanisms of change: Examining mediators in the latent change score framework

Hilley, Chanler; O’Rourke, Holly P.

doi:10.1177/01650254211064352

Cited by 2 publications

(3 citation statements)

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“…To explore the developmental and multivariate quality of dynamic processes of L2 affective variables, appropriate statistical models are required to represent the process in which previous phenomena have prospective outcomes and the processes of variation can be constantly influenced by external and internal factors. LCS models used in the current study are flexible and adaptable enough to examine developments in longitudinal investigations (Cancer et al, 2021;Hilley & O'Rourke, 2022). On the whole, the findings showed that the quantity (i.e., the decreasing and increasing trend) and quality (i.e., the acceleration and deceleration of rate of change) of one L2 affective variable can increase the patterns of change of other related affective variables over time.…”

Section: Discussionmentioning

confidence: 80%

“…LCS models mix several dimensions of autoregressive and latent growth models (LGMs;McArdle, 2009). The LCS approach facilitates the measurement of within-individual variation between two or more points of time as the target outcome by developing latent constructs that reflect the variation in true scores between the two measurement times, t -1 and t (Hilley & O'Rourke, 2022).…”

Section: The Latent Change Score Methodsmentioning

confidence: 99%

“…The first type is the univariate LCS model. Here only one construct is evaluated and modeled repeatedly throughout time (Hilley & O'Rourke, 2022). The second type is the multivariate LCS model, which is an extension of the univariate model and may account for changes in more than one construct over time.…”

Section: The Latent Change Score Methodsmentioning

confidence: 99%

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When time matters: Mechanisms of change in a mediational model of foreign language playfulness and L2 learners’ emotions using latent change score mediation model

et al. 2023

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In a dynamic system, time-dependent links between affective factors can provide more information than the level of response within a single isolated system. In the present study, influenced by the positive psychology movement and the complex dynamic systems theory in the domain of second language acquisition, first, we dealt with change in terms of short-term dynamics and long-term trajectories of foreign language enjoyment (FLE), foreign language boredom (FLB), and foreign language playfulness (FLP) in a sample of 636 learners of English as a foreign language (EFL) using univariant latent change score (LCS) models. Then, we explored the developmental processes involved in how changes in FLE and FLP were associated with changes in FLB. In particular, we tested mediation models to see whether the growth of FLP acts as a mediator between FLE and FLB changes in a multivariant LCS mediation (LCSM) model. The findings showed that (a) in a multivariant LCS model, FLE and FLP increases independently predicted decreases in FLB over time and (b) the growth of FLP acted as a mediator between variation in FLE and FLB. Participants showed interindividual and intraindividual divergences in their L2 emotions, not just on the first time of measurement, but also in short-term dynamics and long-term trajectories. The findings facilitate understanding of the complicated mechanism of variation in L2 emotions, thus potentially contributing to enhancement of pedagogical practices and learning outcomes.

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Section: Discussionmentioning

confidence: 80%

Section: The Latent Change Score Methodsmentioning

confidence: 99%